Sciweavers

407 search results - page 15 / 82
» Trace Clustering in Process Mining
Sort
View
PKDD
2010
Springer
235views Data Mining» more  PKDD 2010»
14 years 9 months ago
Online Structural Graph Clustering Using Frequent Subgraph Mining
The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
Madeleine Seeland, Tobias Girschick, Fabian Buchwa...
MSV
2004
15 years 1 months ago
MABAC - Matrix Based Clustering Algorithm
Clustering is a prominent method in the data mining field. It is a discovery process that groups data such that intra cluster similarity is maximized and the inter cluster similar...
Yonghui Chen, Alan P. Sprague, Kevin D. Reilly
LCN
2007
IEEE
15 years 6 months ago
Cluster-based Forwarding in Delay Tolerant Public Transport Networks
— Packet forwarding in Public Transport Networks is particularly challenging due to the high mobility, rapidly changing topology and intermittent connectivity observed in these n...
Shabbir Ahmed, Salil S. Kanhere
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
15 years 6 months ago
Error-Aware Density-Based Clustering of Imprecise Measurement Values
Manufacturing process development is under constant pressure to achieve a good yield for stable processes. The development of new technologies, especially in the field of photoma...
Dirk Habich, Peter Benjamin Volk, Wolfgang Lehner,...
BMCBI
2008
121views more  BMCBI 2008»
14 years 11 months ago
Microarray data mining using landmark gene-guided clustering
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
Pankaj Chopra, Jaewoo Kang, Jiong Yang, HyungJun C...